Authors :
Dr. P. Bhaskar; Tanuja Kunchala; Srujana Peddi; Rizwana Syed; Pavani Namepalli
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/4uyudmw3
Scribd :
https://tinyurl.com/vus54dzy
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR697
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
PregBot is an innovative system that harnesses
the power of machine learning (ML) and natural language
processing (NLP) to provide comprehensive support to
women and families throughout the pregnancy journey.
Recognizing the varying needs and challenges faced by
expectant mothers, PregBot aims to revolutionize the
maternal healthcare experience by offering personalized
guidance, real-time query resolution, and a virtual
community for support and connection. The system
leverages ML algorithms to analyze user data and tailor
responses, while NLP techniques enable natural language
interactions, allowing users to communicate with PregBot in
a conversational manner. By continuously learning from
user interactions, PregBot adapts and evolves, ensuring the
delivery of timely and relevant information based on the
user's unique circumstances and stage of pregnancy. With
its innovative approach to maternal healthcare, PregBot
represents a significant step towards empowering women,
promoting positive pregnancy experiences, and contributing
to the overall well-being of expectant mothers and their
families.
Keywords :
Pregnancy, Machine Learning, Natural Language Processing, Maternal Healthcare, Virtual Assistant.
PregBot is an innovative system that harnesses
the power of machine learning (ML) and natural language
processing (NLP) to provide comprehensive support to
women and families throughout the pregnancy journey.
Recognizing the varying needs and challenges faced by
expectant mothers, PregBot aims to revolutionize the
maternal healthcare experience by offering personalized
guidance, real-time query resolution, and a virtual
community for support and connection. The system
leverages ML algorithms to analyze user data and tailor
responses, while NLP techniques enable natural language
interactions, allowing users to communicate with PregBot in
a conversational manner. By continuously learning from
user interactions, PregBot adapts and evolves, ensuring the
delivery of timely and relevant information based on the
user's unique circumstances and stage of pregnancy. With
its innovative approach to maternal healthcare, PregBot
represents a significant step towards empowering women,
promoting positive pregnancy experiences, and contributing
to the overall well-being of expectant mothers and their
families.
Keywords :
Pregnancy, Machine Learning, Natural Language Processing, Maternal Healthcare, Virtual Assistant.
